research
∙
07/14/2023
DISPEL: Domain Generalization via Domain-Specific Liberating
Domain generalization aims to learn a generalization model that can perf...
share
research
∙
06/09/2023
Efficient GNN Explanation via Learning Removal-based Attribution
As Graph Neural Networks (GNNs) have been widely used in real-world appl...
research
∙
04/21/2023
Interactive System-wise Anomaly Detection
Anomaly detection, where data instances are discovered containing featur...
research
∙
03/05/2023
CoRTX: Contrastive Framework for Real-time Explanation
Recent advancements in explainable machine learning provide effective an...
research
∙
02/07/2023
Efficient XAI Techniques: A Taxonomic Survey
Recently, there has been a growing demand for the deployment of Explaina...
research
∙
07/20/2022
Mitigating Algorithmic Bias with Limited Annotations
Existing work on fairness modeling commonly assumes that sensitive attri...
research
∙
06/17/2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
Even though Shapley value provides an effective explanation for a DNN mo...
research
∙
06/23/2021
Fairness via Representation Neutralization
Existing bias mitigation methods for DNN models primarily work on learni...
research
∙
04/22/2019
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver
We first investigate two-user nonasymmetric sum-rate Poisson capacity wi...
research
∙
02/22/2019
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks
We propose a doub-station access protocol based on CSMA/CA (DS-CSMA/CA) ...
research
∙
01/18/2019